Efficient DSP banknote serial number recognizing method

Abstract

The invention discloses an efficient DSP banknote serial number recognizing method, which relates to the technical field of image recognition technologies. The method of the invention mainly comprises the key steps of banknote edge extraction, facing direction recognition, serial number location, character segmentation and character recognition. Through banknote edge extraction, the banknote edge in an image is searched and fitted. Facing direction recognition is carried out to determine the front and the back of a banknote and judge whether the banknote is inverted so as to know the rough position of the serial number. Serial number location refers to locating the serial number coarsely based on prior knowledge, carrying out tilt correction on the basis and locating the serial number precisely using horizontal projection. Then, the characters of the precisely located serial number are segmented to obtain independent characters, and on the basis, the gray scale and size of the obtained segmented characters are normalized. Finally, the full-pixel characteristics of the character image are extracted, and the characters are identified using a neural network method.

Description

technical field [0001] The invention belongs to the field of digital image processing, and in particular relates to an efficient DSP (digital signal processing, digital signal processing) banknote serial number recognition method. Background technique [0002] As currency in circulation, banknotes play a pivotal role in people's daily lives. In order to facilitate unified management and prevent the circulation of counterfeit banknotes, each banknote is printed with a unique number, that is, the serial number. Due to the large number of banknotes issued and the high frequency of use, it is unrealistic to record and process them manually. Banknote serial number recognition requires accurate recognition results, high operating efficiency, and real-time requirements. With the development of DSP technology, the banknote serial number can be recognized through the DSP platform, integrating computer vision technology and image processing technology. [0003] At present, the meth...

AI Technical Summary

Problems solved by technology

[0003] At present, the methods for identifying the serial number of banknotes at home and abroad include: some transfer the image of banknotes to the host computer for processing through USB, but due to the limited USB transmission speed, the real-time effect is poor; some recognize the serial number of banknotes through the DSP platform, but Due to the low-efficiency methods of edge finding of banknote images, recognition of orientation, positioning and segmentation of serial number areas, and identification of serial number, the recognition effect and software robustness are poor

For example, in the edge finding of banknote images, abnormal points are not removed, resulting in inaccurate banknote edges, which affects the positioning and identification of banknote serial numbers

Another example is the face-to-face recognition of banknotes, which uses coarse grid features, which seriously affects the efficiency of the program

[0004] The main disadvantages of these methods are low efficiency, poor recognition effect, and low recognition rate of serial numbers.

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